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EDGE
COMPUTING
FROM HYPE TO REALITY
MEGHANA VERONICA BADUGU
INTRODUCTION
WHAT IS EDGE COMPUTING ?
Edge Computing is transforming the way data is being handled, processed, and delivered from millions of devices
around the world.
“ A part of a distributed computing topology in which information processing is located close to the edge- where
things and people produce or consume that information”
 Edge computing works by capturing and processing
information as close to the source of the data or
desired event as possible.
 It relies on sensors, computing devices and machinery
to collect data and feed it to edge servers or the cloud.
 Depending on the desired task and outcome, this data
might feed analytics and machine learning systems,
deliver automation capabilities or offer visibility into
the current state of a device, system or product.
WHY THERE ARISES A NEED FOR EDGE
COMPUTING ?
 It is universally true that cloud computing helps to achieve
mass centralization, data processing and enables to focus
around storage and scaling.
 When data travels miles from cloud data-center to the end-user,
it goes over thousands of miles to the end users.
 For examples : A Self – Driven Autonomous Car
 Driverless cars need to ensure that they are keeping to their
lanes, recognizing and stopping at the red lights, decelerating
by identifying pedestrians and other obstacles and much more.
 If we send such massive data to the centralized cloud servers to
process and get the response it can result in disaster, as It is not
fast enough to respond to the immediate dangers in real-time.
 It reduces strain on the network and provides better reliability
by reducing the time lag between data processing and
transferring the data to the vehicle.
WHY EDGE COMPUTING IS IMPORTANT
FOR BUSINESSES ?
 Businesses can benefit from the reduced latency
with the instant access of real-time data in remote
locations.
 The main purpose of edge computing is to
decentralize data handling.
 Many businesses are seeing the impact edge
computing can have.
 It can improve production monitoring for
manufacturing, drive predictive maintenance and
asset management for oil and gas, and even power
autonomous vehicles.
 Cities looking to take advantage of technology to
better serve its citizens can improve traffic control
measures.
APPLICATIONS OF EDGE
COMPUTING
Edge Computing can be used to push applications,
data and services away from centralized hubs to
logical extremes of a network.
 Smart Cities
 Manufacturing
 Healthcare
 Augmented Reality Devices
 AI Virtual Assistant
ADVANTAGES DISADVANTAGES
 Speed
 Security
 Scalability
 Versatility
 Reliability
 Low latency
 Real Time Availability
 Bring Company And Customer Together
 Incomplete Data
 More Storage Space
 Investment Cost
 Maintenance
 Only Local Area Coverage
THANK
YOU 

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Edge Computing

  • 1. EDGE COMPUTING FROM HYPE TO REALITY MEGHANA VERONICA BADUGU
  • 2. INTRODUCTION WHAT IS EDGE COMPUTING ? Edge Computing is transforming the way data is being handled, processed, and delivered from millions of devices around the world. “ A part of a distributed computing topology in which information processing is located close to the edge- where things and people produce or consume that information”
  • 3.  Edge computing works by capturing and processing information as close to the source of the data or desired event as possible.  It relies on sensors, computing devices and machinery to collect data and feed it to edge servers or the cloud.  Depending on the desired task and outcome, this data might feed analytics and machine learning systems, deliver automation capabilities or offer visibility into the current state of a device, system or product.
  • 4. WHY THERE ARISES A NEED FOR EDGE COMPUTING ?  It is universally true that cloud computing helps to achieve mass centralization, data processing and enables to focus around storage and scaling.  When data travels miles from cloud data-center to the end-user, it goes over thousands of miles to the end users.  For examples : A Self – Driven Autonomous Car  Driverless cars need to ensure that they are keeping to their lanes, recognizing and stopping at the red lights, decelerating by identifying pedestrians and other obstacles and much more.  If we send such massive data to the centralized cloud servers to process and get the response it can result in disaster, as It is not fast enough to respond to the immediate dangers in real-time.  It reduces strain on the network and provides better reliability by reducing the time lag between data processing and transferring the data to the vehicle.
  • 5. WHY EDGE COMPUTING IS IMPORTANT FOR BUSINESSES ?  Businesses can benefit from the reduced latency with the instant access of real-time data in remote locations.  The main purpose of edge computing is to decentralize data handling.  Many businesses are seeing the impact edge computing can have.  It can improve production monitoring for manufacturing, drive predictive maintenance and asset management for oil and gas, and even power autonomous vehicles.  Cities looking to take advantage of technology to better serve its citizens can improve traffic control measures.
  • 6. APPLICATIONS OF EDGE COMPUTING Edge Computing can be used to push applications, data and services away from centralized hubs to logical extremes of a network.  Smart Cities  Manufacturing  Healthcare  Augmented Reality Devices  AI Virtual Assistant
  • 7. ADVANTAGES DISADVANTAGES  Speed  Security  Scalability  Versatility  Reliability  Low latency  Real Time Availability  Bring Company And Customer Together  Incomplete Data  More Storage Space  Investment Cost  Maintenance  Only Local Area Coverage